shreya1313/Fraud-Detection-in-Financial-Services
Advances in technology give criminals increasingly powerful tools to commit fraud, especially using credit cards or internet bots Digital banking opened the sector to new fraud scenarios, which are posing a great challenge for human analysts, due to their complexity, speed and scale. So, we bring to you, Oddity Yes, Oddity is the new age fraud detection and prevention system It detects fraudulent transaction with users previously buying pattern and natural behavior! Link to dataset - https://www.kaggle.com/ealaxi/paysim1
No commits in the last 6 months.
Stars
7
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 02, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/shreya1313/Fraud-Detection-in-Financial-Services"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GoogleCloudPlatform/fraudfinder
Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on...
benedekrozemberczki/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
jube-home/aml-fraud-transaction-monitoring
Open source AML and Fraud Detection using Machine Learning for Real-Time Transaction Monitoring
Fraud-Detection-Handbook/fraud-detection-handbook
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
safe-graph/DGFraud
A Deep Graph-based Toolbox for Fraud Detection